My current research project, which is using domain adaptive deep neural networks for transthoracic echocardiography, intersects with the mission of VALIANT through the use of applying AI techniques used in other domains as a novel method for beamforming, such as CycleGANs. A lot of my semester work has also been consistently researching the literature to find methods often applied in other fields that may benefit our research goal. This summer, I am also working towards a second project, to successfully build models capable of preserving low-amplitude blood signals in transcranial ultrasound beamforming with a long-term goal in mind of integrating EEG for more advanced brain computer interface (BCI) applications. Furthermore, through my collaborative side projects in the SyBBURE Searle Undergraduate Research Program, I also aspire to utilize these skills I have acquired in preparing training, validation, and testing data, as well as building model frameworks for deep learning, in order to apply them to other domains-music and audio processing. In addition, I can hopefully share my knowledge with others while consolidating their experience with AI with my own.